My requirement is to download files from S3 bucket on daily basis based on the date filter (ex: day=2018-07-14). We are successfully able to download using AWSCLI using the below code
aws s3 cp s3://<bucketname>/day=2018-07-14 local_dir --recursive
But I would want to download using Python script (may be boto3). Can anyone suggest what are the steps to be taken and mainly the configuration steps (I am using the windows machine) to download using .py scripts.
Thanks in advance.
import boto3
This will unlock the python functionality you desire:
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html
Related
I have a google cloud storage bucket, I can download objects using the download_blob function in python, I can also use the gsutil cp or gcloud compute scp function to download entire directories.
Is there a way to download an entire directory from the storage bucket using python as a single zip file.
doing it this way Python - download entire directory from Google Cloud Storage requires me to download file by file.
Is there a way to download an entire directory at once ?
Cloud Storage has no concept of "directories" -- instead, each blob can be given a name that can resemble a directory path. Downloading entire "directories" is the same as downloading all blobs with the same prefix.
This means that you can use wildcards with gsutil:
gsutil -m cp gs://bucket/data/abc/* .
would copy every blob whose name starts with /data/abc/.
i am trying to improve my current code which is download file from s3 to local machine.what i need to do is, lets say yesterday i have downloaded the files from s3 but today i forgot to download the files. then when i am going to download files from s3 today it should download the yesterday and today files.basically it should download all files from last downloaded date to current date.so how i am suppose to do this?
my code is:
visit: How to download Amazon S3 files on to local machine in folder using python and boto3?
I have a CSV which is stored in an AWS S3 bucket and is used to store information which gets loaded into a HTML document via some jQuery.
I also have a Python script which is currently sat on my local machine ready to be used. This Python script scrapes another website and saves the information to the CSV file which I then upload to my AWS S3 bucket.
I am trying to figure out a way that I can have the Python script run nightly and overwrite the CSV stored in the S3 bucket. I cannot seem to find a similar solution to my problem online and am vastly out of my depth when it comes to AWS.
Does anyone have any solutions to this problem?
Cheapest way: Modify your Python script to work as an AWS Lambda function, then schedule it to run nightly.
Easiest way: Spin up an EC2 instance, copy the script to the instance, and schedule it to run nightly via cron.
What I am trying to do is use aws-lambda to import zipped sql files in aws-rds. In my case zipped sql files are inserted in s3 constantly by some crawlers. What I want to do is when any sql file is uploaded to an s3 bucket, I want aws-lambda to use a mysql-client to import these files into aws-rds.
They way I have think of doing this is by packaging a mysql-client inside the zip for the aws-lambda handler. But I can't really figure out how to package mysql inside a zip. Is this possible? If yes, then a list of steps to achieve this would be really helpful!
PS: I am using python-2.7 for writing the aws-lambda handler. I am not interested in using any python-mysql library to achieve this task. The reason being, I don't want to unzip the files and load them in memory and than execute them. These files can be very large, so I don't want to load them in memory.
Is it possible to create a new excel spreadsheet file and save it to an Amazon S3 bucket without first saving to a local filesystem?
For example, I have a Ruby on Rails web application which now generates Excel spreadsheets using the write_xlsx gem and saving it to the server's local file system. Internally, it looks like the gem is using Ruby's IO.copy_stream when it saves the spreadsheet. I'm not sure this will work if moving to Heroku and S3.
Has anyone done this before using Ruby or even Python?
I found this earlier question, Heroku + ephemeral filesystem + AWS S3. So, it would seem this is not possible using Heroku. Theoretically, it would be possible using a service which allows adding an Amazon EBS.
You have dedicated Ruby Gem to help you moving file to Amazon S3:
https://rubygems.org/gems/aws-s3
If you want more details about the implementation, here is the git repository. The documentation on the page is very complete, and explain how to move file to S3. Hope it helps.
Once your xls file is created, the library helps you create a S3Objects and store it into a Bucket (which you can also create with the library).
S3Object.store('keyOfYourData', open('nameOfExcelFile.xls'), 'bucketName')
If you want more choice, Amazon also delivered an official Gem for this purpose: https://rubygems.org/gems/aws-sdk